Cattle breeders keep track of certain characteristics of their animals in
order to select animals with the best combination of desired traits. But
"best" has been a subjective and inconsistent measure. Now, thanks to
ARS research, breeders may refine their decision-making by focusing on
profitability. To assess their animals, breeders keep track of growth traits,
such as weights at birth, weaning, yearling, and maturity. They also measure
carcass traits such as lean yield, marbling, and fat content, which are
indicators of value to consumers. In addition, they record traits like the age
when a female reaches puberty and her subsequent pregnancy. Breed associations
take the information, combine it with each animal's genetic tree, and run it
through a computer program to develop an expected progeny difference, or EPD.
That lets breeders compare individual animals for individual traits. They would
know, for example, that bull A was more likely to produce offspring with the
desired marbling than bull B. But until now, the process has not been complete:
Producers were left with the difficult task of combining the EPDs in an
efficient manner. A refined system devised by an ARS geneticist allows breeders
to use the EPDs to predict genetic potential for profit. With this system,
breeders will be able to know how to most profitably trade off such features as
changes in fat thickness and marbling. The complicated calculations are not yet
available in a simple computer program for individuals to use. Their developer
says producers will most likely get the information through Cooperative
Extension Service specialists or breed associations as the lab passes on the
technology.
Fort Keogh Livestock and Range
Research Laboratory, Miles City, MT
Michael D. MacNeil, (406) 232-8213, mike@larrl.ars.usda.gov
Dairy producers could benefit from an enzyme supplementfor their
cows. Bromelain, a mix of enzymes extracted from the stems of pineapple
plants, helps keep the white cell count in cows' milk down in the range that
fetches a premium price, according to a recent ARS study. U.S. dairy producers
get an extra 20 cents per 100 pounds for milk having a cell count under a
specified level. That level ranges from about 200,000 to 300,000 cells per
milliliter, depending on which state tests the milk. Producers can't sell milk
with cell counts above the legal limit. In the United States, that's 750,000
cells/ml. Canada and Europe have lower limits500,000 and 400,000,
respectively. In the study of 10 cows with average white cell counts slightly
over 300,000, putting 75 grams of bromelain pellets daily in each cow's feed
reduced cell counts by 100,000 on average during each of two trials. What's
more, cell counts never surpassed the legal U.S. or Canadian limits when the
cows got bromelain, as they sometimes did when left untreated. With bromelain,
producers could have more days with cell counts in the premium price
rangeunder 300,000.
Immunology and Disease
Resistance Laboratory, Beltsville, MD
Max J. Paape, (301) 504-8302, mpaape@lpsi.barc.usda.gov
Mixing tiny glass beads with catfish feed helps researchers do a better
job of measuring how much feed the fish consume. Until now, it's been
difficult to measure how much food an individual fish eats daily, because all
fish are raised together in a pond and fed simultaneously. Generally, catfish
producers record feed intake based on simple observation, but this method
assumes that fish consume all the feed delivered and that they all ete the same
amount. ARS researchers adapted the new, innovative technique from salmon
feeding studiesusing tiny glass beads in the feedand customized it
for channel catfish. The opaque glass beads, about 0.4 millimeters in diameter,
are mixed in low concentrations of about 1 percent of the feed. After feeding,
catfish are anesthetized and x-rayed. This allows the beads to be counted so
that an accurate calculation of feed consumed by each fish can be made. In
indoor tank studies, scientists found different catfish strains consume feed at
different rates. Fish with superior feed intake and conversion of feed into
filet meat can be identified, so this trait can be incorporated into breeding
programs. The researchers have perfected the technique even more by automating
the bead-counting process. This allows scientists to view 600 scanned x-ray
images a day, versus 200 images over a few weeks when done by hand. Automation
is nearly 100-percent accurate.
Catfish
Genetics Research Unit, Stoneville, MS
Jeffrey T. Silverstein,(601) 686-3591, jsilvers@ag.gov
Healthier and more productive cows that produce more profits for farmers
and more abundant, higher quality milk for consumers is the goal of an ARS
research project to map dairy cattle genes. The project integrates research
from two key ARS animal labs: one that keeps tabs on traits like milk, fat,
protein, and others that affect cows' health, vigor and profitability; and
another that studies genes related to growth, disease resistance, and milk
productivity. By wedding findings of both labs, researchers will integrate
newly identified molecular markers with existing data sources to more
accurately evaluate dairy animals' traits and to speed up the rate of genetic
improvement. As a result, genes influencing important traits like mastitis
resistance, milk yield, and fat and protein concentrations will be easier to
identify and use in breeding decisions. Using genetic markers in estimating the
genetic value of dairy cattle can accelerate the rate of improvement for milk
production and other economically important traits.
Animal Improvement Programs
Laboratory/Gene Evaluation and Mapping Laboratory, Beltsville, MD
Curtis P. Van Tassell, (301) 504-9271, curtvt@aipl.arsusda.gov
Last updated: February 17, 2000
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